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Journal articles on the topic 'Low power WSN node'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Chen, De Hai, and Wei Feng Chao. "Low-Power WSN Measurement Node for Greenhouse." Applied Mechanics and Materials 391 (September 2013): 501–4. http://dx.doi.org/10.4028/www.scientific.net/amm.391.501.

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The component of the greenhouse wireless sensor network was introduced, as the same time, its working process was presented. The wireless measurement nodes were designed based on nRF9E5. The hardware and software of the actuator nodes were studied, and according to the wireless communication system characteristic designing the system of hardware and software. The system was also debugged and test run. To reduce energy consumption, low-power components and low-power wireless transmission model were utilized, and the node had two operating model: active model and standby model. The wireless meas

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Wong, Yan Chiew, Szi Hui Tan, Ranjit Singh Sarban Singh, Haoyu Zhang, A. R. Syafeeza, and N. A. Hamid. "Low power wake-up receiver based on ultrasound communication for wireless sensor network." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 21–29. http://dx.doi.org/10.11591/eei.v9i1.1654.

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Wireless sensor network (WSN) consists of base stations and sensors nodes to monitor physical and environmental conditions. Power consumption is a challenge in WSN due to activities of nodes. High power consumption is required for the main transceiver in WSN to receive communication requests all the time. Hence, a low power wake-up receiver is needed to minimize the power consumption of WSN. In this work, a low power wake-up receiver using ultrasound data communication is designed. Wake-up receiver is used to detect wake-up signal to activate a device in WSN. Functional block modelling of the

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Hung, Chung-Wen, Hao-Jun Zhang, Wen-Ting Hsu, and Yi-Da Zhuang. "A Low-Power WSN Protocol with ADR and TP Hybrid Control." Sensors 20, no. 20 (2020): 5767. http://dx.doi.org/10.3390/s20205767.

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Most Internet of Things (IoT) systems are based on the wireless sensor network (WSN) due to the reduction of the cable layout cost. However, the battery life of nodes is a key issue when the node is powered by a battery. A Low-Power WSN Protocol with ADR and TP Hybrid Control is proposed in this paper to improve battery life significantly. Besides, techniques including the Sub-1GHz star topology network with Time Division Multiple Access (TDMA), adaptive data rate (ADR), and transmission power control (TPC) are also used. The long-term testing results show that the nodes with the proposed algo

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Yan, Chiew Wong, Hui Tan Szi, Singh Sarban Singh Ranjit, Zhang Haoyu, R. Syafeeza A., and A. Hamid N. "Low power wake-up receiver based on ultrasound communication for wireless sensor network." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 21–29. https://doi.org/10.11591/eei.v9i1.1654.

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Wireless sensor network (WSN) consists of base stations and sensors nodes to monitor physical and environmental conditions. Power consumption is a challenge in WSN due to activities of nodes. High power consumption is required for the main transceiver in WSN to receive communication requests all the time. Hence, a low power wake-up receiver is needed to minimize the power consumption of WSN. In this work, a low power wake-up receiver using ultrasound data communication is designed. Wake-up receiver is used to detect wake-up signal to activate a device in WSN. Functional block modelling of the

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Shah, Dhara Narendra. "Review on Improving Network Topology Lifetime by Optimal Node Position Clustering." International Journal of Emerging Research in Management and Technology 6, no. 6 (2018): 224. http://dx.doi.org/10.23956/ijermt.v6i6.273.

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Wireless sensor network(WSN) is facing key challenges like extending network lifetime due to sensor nodes having limited power supplies. Extending WSN lifetime is complicated because nodes often experience differential power consumption. For example, nodes closer to the sink in a given routing topology transmit more data and thus consume power more rapidly than nodes farther from the sink. Inspired by the huddling behavior of emperor penguins where the penguins take turns on the cold extremities of a penguin “huddle”, we propose mobile node rotation, a new method for using low-cost mobile sens

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Lin, Yang, Zhi Qun Li, Chen Jian Wu, Meng Zhang, and Zeng Qi Wang. "Design of Low Voltage Low Power LPF for WSN Node." Advanced Materials Research 760-762 (September 2013): 54–59. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.54.

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A fourth-order low-pass continuous-time filter for a WSN transmitter is presented. The active RC filter was chosen for the high linearity, designed by using the leapfrog topology imitates the passive filter. The operation amplifier (op-amp) adopted by the filter is feed-forward operation amplifier, which could get the GBW as large as possible under the low power consumption. The cut-off frequency deviation due to the process corner, aging and temperature deviation is adjusted by an automatic frequency tuning circuit. The filter in a 0.18μm RF CMOS technology consumes 1mW from a 1V power supply

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Ren, Si Kui, and Zhi Qun Li. "Design of Low Voltage Low Power ADC for WSN Node." Advanced Materials Research 760-762 (September 2013): 561–66. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.561.

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This paper presents a low power low voltage 7bit 16MS/s SAR ADC (successive approximation register analog-to-digital converter) for the application of ZigBee receiver. The proposed 7-bit ADC is designed and simulated in 180nm RF CMOS technology. Post simulation results show that at 1.0-V supply and 16 MS/s, the ADC achieves a SNDR (signal-to-noise-and-distortion ratio) and SFDR (Spurious Free Dynamic Range) are 43.6dB, 57.4dB respectively. The total power dissipation is 228μW, and it occupies a chip area of 0.525 mm2. It results in a figure-of-merit (FOM) of 0.11pJ/step.

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Sunitha R. and Chandrika J. "Malevolent Node Detection Based on Network Parameters Mining in Wireless Sensor Networks." International Journal of Digital Crime and Forensics 13, no. 5 (2021): 130–44. http://dx.doi.org/10.4018/ijdcf.20210901.oa8.

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The exponential growth of the internet of things and united applications have renewed the scholarly world to grow progressively proficient routing strategies. Quality of service (QoS) and reduced power consumption are the major requirements for effective data transmission. The larger part of the applications nowadays including internet of things (IoT) communication request power effective and QoS-driven WSN configuration. In this paper, an exceptionally strong and effective evolutionary computing allied WSN routing convention is designed for QoS and power effectiveness. The proposed routing co

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Kondratjevs, K., A. Zabasta, and V. Selmanovs-Pless. "Development of Solar Powered Feeding Scheme for Wireless Sensor Networks in low Solar Density Conditions / Bezvadu Sensoru Tīklu Elektroapgādes Sistēmas Izstrāde, Kas Izmanto Saules Paneļus Un Darbojas Pazeminātas Saules Radiācijas Apstākļos." Latvian Journal of Physics and Technical Sciences 52, no. 4 (2015): 43–56. http://dx.doi.org/10.1515/lpts-2015-0022.

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Abstract In the recent years, there has been significant research focus on the safety and reliability of data harvesting and optimal energy consuming by wireless sensor network nodes. If external electrical power fails, the node needs to be able to send notifications to the utility demanding the use of backup energy strategies. The authors of the research offer an approach that can help to use PV panels as an alternative power source for WSN nodes in particular irradiation conditions. Survey and testing of the main types of PV panels offered on the market in conditions closed to real ones, in

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Du, Xiaotong, Wei Zhang, and Dong Li. "A Real-Time and Low Power Working Method for Mobile WSN." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/840647.

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In many mobile wireless sensor network (WSN) applications, the low power problem is often ignored to maintain the real-time property of monitoring nodes. To solve the long-time working problems of mobile nodes and the whole WSN network, this paper provides a new working method. First, the real-time and consumption features are compared between the Random Mechanism (RM) and Time-Division Mechanism (TDM) through experiments. Secondly, a mobile Time-Division Mechanism based on subnet node ID is designed to reduce the power consumption on the premise of real-time requirements effectively. At the s

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Xu, Xiang Jun. "Research on the Communication Nodes Design of Wireless Sensor Network Data Based on ZIGBEE." Advanced Materials Research 998-999 (July 2014): 1315–18. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1315.

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Wireless Sensor Network (WSN), is in the rapid development and widely applied to many fields in recent years due to its low cost, low power consumption and so on. This thesis focuses on the design method of low power consumption and small size WSN node based on ZIGBEE protocol. The main research work and achievements of the thesis are as follows: Firstly, WSN ZIGBEE protocol is researched in detail. The architecture and each layer's function of ZIGBEE protocol are analyzed, and a node design method based on ZIGBEE protocol is proposed. Secondly, design methods of WSN node are discussed. CC2420

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Guoxiu, Lu. "Design of Low Power WSN Node in Wild Environment." American Journal of Networks and Communications 6, no. 2 (2017): 47. http://dx.doi.org/10.11648/j.ajnc.20170602.12.

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Chia, Yee Saw, Chiew Wong Yan, Lee Loh Ser, and Zhang Haoyu. "On-chip ultra low power optical wake-up receiver for wireless sensor nodes targeting structural health monitoring." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 5 (2020): 2257–64. https://doi.org/10.12928/TELKOMNIKA.v18i5.13378.

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Wireless sensor network (WSN) consists of distributed nodes deployed for monitoring the physical conditions and organizing collected data at the central control unit. Power consumption is the challenges in WSN as the network consists of wireless sensor nodes becomes denser. By utilizing WSN and visible light technology, a simple health monitoring system design can be approached that are smaller in size, faster and lower power consumption. This work focuses on design a low power optical wake-up receiver to reduce the energy consumption of each node in WSN. A wake-up receiver is designed to be a

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Zhang, Nan, Jian Hua Zhang, Jian Ying Chen, and Xiao Mei Qu. "An Immune-Based Node Localization Algorithm for WSN." Advanced Materials Research 490-495 (March 2012): 1207–11. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.1207.

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Node localization technology is the premise and foundation of all applications in wireless sensor network. An improved DV-Hop algorithm was proposed aimed at the low-power requirement of wireless sensor networks. The distances between nodes and anchor nodes were used to calculate the node location in DV-Hop algorithm, and the immune algorithm was used to optimize the estimated location in the third stage of DV-Hop algorithm. The improved algorithm does not require additional hardware devices, and has smaller additional amount of communication and computation.

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Hakim, Galang, Muhammad Hafidz, Ahmad Firdausi, and Eko Ramadhan. "Wireless Sensor Network Nodal Development for Low Cost and Low Power PH Soil Monitoring Agriculture 4.0 Application." Journal FORTEI-JEERI 1, no. 2 (2020): 10–18. http://dx.doi.org/10.46962/forteijeeri.v1i2.16.

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According to a report from the United Nations estimates that by 2030 about 800 million people worldwide will suffer from hunger. To combat this problem the agricultural production needs to be increased by at least 60%. One of many parameters that need to be monitor to increase agricultural output was soil PH level. Soil PH is very influential on the development of rice plants, where high acidity soil will make plant unhealthy and die. In order to be able monitor soil PH level, we need low cost and long life WSN node that can monitor soil PH level. In this paper we have manage to a long life WS

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Hakim, Galang Persada Nurani, Muhammad Hafizd Ibnu Hajar, Ahmad Firdausi, and Eko Ramadhan. "Benchmarking In Microcontroller Development Board Power Consumption For Low Power Iot Wsn Application." Jurnal Teknologi Elektro 13, no. 1 (2022): 25. http://dx.doi.org/10.22441/jte.2022.v13i1.005.

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One of the advantages of Wireless Sensor Network would be its ability to reduce cost of communication system using node to node communication. However Wireless Sensor Network also had a disadvantage which is has limited energy which is include this as low power application. This small energy capacity has limit WSN node capability to operate for a long time. In this paper, we compare power consumption for 3 popular microcontroller development platforms that use for fast development and prototyping Wireless Sensor Network node. The power consumption was including active mode (using most energy)

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Gharghan, Sadik Kamel, Rosdiadee Nordin, and Mahamod Ismail. "Energy Efficiency of Ultra-Low-Power Bicycle Wireless Sensor Networks Based on a Combination of Power Reduction Techniques." Journal of Sensors 2016 (2016): 1–21. http://dx.doi.org/10.1155/2016/7314207.

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In most wireless sensor network (WSN) applications, the sensor nodes (SNs) are battery powered and the amount of energy consumed by the nodes in the network determines the network lifespan. For future Internet of Things (IoT) applications, reducing energy consumption of SNs has become mandatory. In this paper, an ultra-low-power nRF24L01 wireless protocol is considered for a bicycle WSN. The power consumption of the mobile node on the cycle track was modified by combining adjustable data rate, sleep/wake, and transmission power control (TPC) based on two algorithms. The first algorithm was a T

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Anas, Ali Hussien, W. Al-Shammari Shaymaa, and J. Marie Mehdi. "Performance evaluation of wireless sensor networks using LEACH protocol." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 19, no. 1 (2020): 395–402. https://doi.org/10.11591/ijeecs.v19.i1.pp395-402.

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Recent days witnessed considerable developments in the field of wireless sensor networks (WSNs). The applications of these networks can be seen in the simple consumer electronic devices as well as in the advanced space technology. The communication protocols are of prior importance and interest; the low-energy adaptive clustering hierarchy (LEACH) protocol is used to enhance the performance of power consumption for the WSNs nodes. The efficiency of a wireless network can be affected by different factors, such as the size of the WSN and the initial energy of the sensor node. This can inspire th

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Thorat, Vaishali, and Dr Lalitkumar Wadhwa. "IMPROVEMENT IN ROUTING PROTOCOL FOR WSN." International Journal of Engineering Applied Sciences and Technology 6, no. 6 (2021): 143–45. http://dx.doi.org/10.33564/ijeast.2021.v06i06.021.

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A wireless network of sensing element (WSN) can be a group of nodes in a systematic way within a network. WSN nodes enlarging low power devices consisting of 1 or more sensors, processor, memory or storage, radio and trans-receiver connected inside an antenna that can be internal or external. Sensors can be mechanical, thermal, chemical, optical, magnetic and other distant. Symptoms created by the senses are naturally analogous. Analog to digital device (ADC) has been used to convert sensory-induced sensors into digital form and integrated into the process unit. Sensors and ADCs are known to b

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Avina, H. Dhangare. "A Power Estimation Method for Energy Efficient Wireless Sensor Network." Journal of Power Electronics and Devices 5, no. 2 (2019): 24–31. https://doi.org/10.5281/zenodo.3243751.

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<em>Wireless sensor networks (</em><em>WSN</em><em>) are composed of large number of sensor node with restricted energy. The energy is one of the most important terms in wireless sensor networks problem. </em><em>Sensor node of WSN consists of processor unit, memory unit and power supply.</em><em> Wireless sensor node is battery operated, therefore the biggest challenge in field of wireless sensor is the lifetimes of WSN node which can be improve by achieving communication with low power consumption. So in this proposed </em><em>work</em><em>, a path metric that accurately captures the expecte

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Veronica, Windha Mahyastuty, Iskandar, Hendrawan, and Sigit Arifianto M. "Wireless Sensor Network over High Altitude Platform." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 1 (2018): 129–33. https://doi.org/10.12928/TELKOMNIKA.v16i1.8391.

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One of Machine Type Communication (MTC) applications is Wireless Sensor Network (WSN). WSN is an intelligent network application system to collect, integrate, and transmit data autonomously. Sensor nodes in WSN, communicate over short distance via a wireless medium and collaborate to accomplish a common task, such as enviroment monitoring, military surveillance and industrial process control. The constraining aspect of WSN usage is the limited power of each sensor node, so energy efficiency becomes an important issue in WSN. Routing is a function in WSN, which consumes a substantial amount of

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Chéour, Rym, Mohamed Wassim Jmal, and Mohamed Abid. "New combined method for low energy consumption in Wireless Sensor Network applications." SIMULATION 94, no. 10 (2018): 873–85. http://dx.doi.org/10.1177/0037549718759432.

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Over the past few years the applications for Wireless Sensor Networks (WSNs) have grown at an ever-increasing rate. However, the evolution of those networks has been reduced by the energy scarcity. It retards the development of the WSN performances required while exploring new applications and improving the WSN potential. Besides, in order to design energy-efficient solutions, it is important to take into account the power dissipation due to noncompliance with time constraints. As a result, we will provide a model of power management that will be simulated and validated by the STORM Simulator

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Hussien, Anas Ali, Shaymaa Waleed Al-Shammari, and Mehdi J. Marie. "Performance evaluation of wireless sensor networks using LEACH protocol." Indonesian Journal of Electrical Engineering and Computer Science 19, no. 1 (2020): 395. http://dx.doi.org/10.11591/ijeecs.v19.i1.pp395-402.

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<span>Recent days witnessed considerable developments in the field of wireless sensor networks (WSNs). The applications of these networks can be seen in the simple consumer electronic devices as well as in the advanced space technology. The communication protocols are of prior importance and interest; the low-energy adaptive clustering hierarchy (LEACH) protocol is used to enhance the performance of power consumption for the WSNs nodes. The efficiency of a wireless network can be affected by different factors, such as the size of the WSN and the initial energy of the sensor node. This ca

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Shinghal, Kshitij, Arti Noor, Neelam Srivastava, and Raghuvir Singh. "Custom Single Purpose Processor Design: For Low Power WSN Node." International Journal of Recent Trends in Electrical & Electronics Engineering 1, no. 1 (2011): 15–24. http://dx.doi.org/10.7323/ijrte/v1_i1/04.

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Safar, Maytham, Hasan Al-Hamadi, and Dariush Ebrahimi. "PECA." International Journal of Information Technology and Web Engineering 6, no. 1 (2011): 49–58. http://dx.doi.org/10.4018/jitwe.2011010104.

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Wireless sensor networks (WSN) have emerged in many applications as a platform to collect data and monitor a specified area with minimal human intervention. The initial deployment of WSN sensors forms a network that consists of randomly distributed devices/nodes in a known space. Advancements have been made in low-power micro-electronic circuits, which have allowed WSN to be a feasible platform for many applications. However, there are two major concerns that govern the efficiency, availability, and functionality of the network—power consumption and fault tolerance. This paper introduces a new

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Purnama, Adi, Atep Aulia Rahman, and Esa Fauzi. "LEACH Protocol to Improve Energy Efficiency of Wireless Sensor Networks in Smart Agriculture." Jurnal Ilmiah Informatika Global 15, no. 1 (2024): 38–44. http://dx.doi.org/10.36982/jiig.v15i1.3805.

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Smart agriculture is the application of technology to improve efficiency, productivity, and sustainability in agricultural practices. However, smart agriculture systems face major challenges related to connectivity and energy management. To address connectivity issues, the Wireless Sensor Network (WSN) architecture is utilized, consisting of sensor nodes to collect and transmit sensor data wirelessly. Despite the implementation of WSN, there are still issues related to high power consumption in smart agriculture systems. This can lead to reduced battery life for each sensor node in the WSN arc

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Li, Wei Qiao, Qin Yu, and Li Xiang Ma. "Cellular Automata-Based WSN Energy Saving Technology." Advanced Materials Research 546-547 (July 2012): 1334–39. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.1334.

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Wireless sensor network is a new type of wireless network. IEEE 802.15.4 / Zigbee standards with low energy consumption, low speed characteristics has been widely used in wireless sensor network. As the wireless sensor nodes are often set in complex geographical environment and had not continuous power supply, thus saving energy has been one of the main directions of research at home and abroad. Cellular automata are a mimic biological cell reproduction form of dynamical system, with a simple rule to reveal the complex global characteristics. This paper presents a kind of cellular automata and

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Wu, Yin, Bowen Li, and Fuquan Zhang. "Predictive Power Management for Wind Powered Wireless Sensor Node." Future Internet 10, no. 9 (2018): 85. http://dx.doi.org/10.3390/fi10090085.

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A conventional Wireless Sensor Network (WSN) cannot have an infinite lifetime without a battery recharge or replacement. Energy Harvesting (EH), from environmental energy sources, is a promising technology to provide sustainable powering for a WSN. In this paper, we propose and investigate a novel predictive energy management framework that combines the Maximal Power Transferring Tracking (MPTT) algorithm, a predictive energy allocation strategy, and a high efficiency transmission power control mechanism: First, the MPTT optimal working point guarantees minimum power loss of the EH-WSN system;

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Djadour, Imededdin, Salih Aidel, and Medkour Hicham. "Design and implementation of low power consumption wireless sensor node." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 6 (2019): 2729–34. https://doi.org/10.12928/TELKOMNIKA.v17i6.12047.

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This work proposes an implementation of wireless sensor node characterized by its very low power consumption. The node comprises three main components: Xbee module, low power PIC microcontroller and digital sensor. The node can be set to sense then transmit data via one of two transmission methods: periodic and by interruptions. To evaluate the power consumption; currents in the node is measured during the different transmission stages for both methods. As a result, a significant reduction in the power consumption is shown particularly in sleep mode compared to conventional transmission method

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Amarasimha T. and V. Srinivasa Rao. "Efficient Energy Conservation and Faulty Node Detection on Machine Learning-Based Wireless Sensor Networks." International Journal of Grid and High Performance Computing 13, no. 2 (2021): 1–20. http://dx.doi.org/10.4018/ijghpc.2021040101.

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Wireless sensor networks are used in machine learning for data communication and classification. Sensor nodes in network suffer from low battery power, so it is necessary to reduce energy consumption. One way of decreasing energy utilization is reducing the information transmitted by an advanced machine learning process called support vector machine. Further, nodes in WSN malfunction upon the occurrence of malicious activities. To overcome these issues, energy conserving and faulty node detection WSN is proposed. SVM optimizes data to be transmitted via one-hop transmission. It sends only the

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Ayala-Ruiz, Daniel, Alejandro Castillo Atoche, Erica Ruiz-Ibarra, Edith Osorio de la Rosa, and Javier Vázquez Castillo. "A Self-Powered PMFC-Based Wireless Sensor Node for Smart City Applications." Wireless Communications and Mobile Computing 2019 (June 3, 2019): 1–10. http://dx.doi.org/10.1155/2019/8986302.

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Long power wide area networks (LPWAN) systems play an important role in monitoring environmental conditions for smart cities applications. With the development of Internet of Things (IoT), wireless sensor networks (WSN), and energy harvesting devices, ultra-low power sensor nodes (SNs) are able to collect and monitor the information for environmental protection, urban planning, and risk prevention. This paper presents a WSN of self-powered IoT SNs energetically autonomous using Plant Microbial Fuel Cells (PMFCs). An energy harvesting device has been adapted with the PMFC to enable a batteryles

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Bouraoui, Mariem, Amel Neifar, Imen Barraj, and Mohamed Masmoudi. "A Low-Power WLAN CMOS LNA for Wireless Sensor Network Wake-Up Receiver Applications." Journal of Sensors 2023 (May 5, 2023): 1–11. http://dx.doi.org/10.1155/2023/7753558.

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Wireless communication integration is related to many challenges such as reliability, quality of service, communication range, and energy consumption. As the overall performance of wireless sensor networks (WSN) will be improved if the capacity of each sensor node is optimized, several techniques are used to fine-tune the various circuits of each node. In recent works, the wake-up receiver nodes have been introduced to minimize latencies without increasing energy consumption. To overcome the sensitivity of wake-up receiver limitations, a design of a low-noise amplifier (LNA) with several desig

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Nguyen Huu, Phat. "Low-Complexity Security Algorithm Again Black-hole Attacking Node Considering Energy Balance for WSNs." Journal of Science and Technology: Issue on Information and Communications Technology 18, no. 4.2 (2020): 26. http://dx.doi.org/10.31130/ict-ud.2020.86.

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Wireless sensor network (WSN) is a network through radio waves to link a large number of unevenly distributed nodes on a wide range of areas for the purpose of sensing, processing and collecting data.The data transmitted in WSNs is usually sensitive that needs to be protected. WSNs are more vulnerable to attacks due to network characteristics such as wireless transmission, changing network topologies, computing power, limited memory and power of nodes comparing to wired networks. There are many types of attacks on WSNs such as sinkhole attacks, data integrity attacks, wormhole attacks, Black h

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Sun, Xiang, Hua Rui Wu, and Hua Ji Zhu. "Design and Realization of Organic Viticulture Monitoring System Based on WSN." Advanced Materials Research 546-547 (July 2012): 892–97. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.892.

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According to the demands of organic viticulture for small environment regulation and management automation, a grape production monitoring system based on wireless sensor networks (WSN for short) was designed, so as to solve the low management automation level, great workload and other problems that exist in traditional viticulture. The system includes a WSN and a planting management-oriented viticulture management system. The WSN consists of twelve environment monitoring nodes equipped with 168 sensors and 12 video capture cards, a sink node and a monitoring center. And it is also free to cust

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Bhawiyuga, Adhitya. "Data Collision Avoidance based on TDMA in LoRa Wireless Sensor Networks." Journal of Information Technology and Computer Science 9, no. 2 (2024): 195–207. http://dx.doi.org/10.25126/jitecs.92548.

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Wireless Sensor Network has an applicative function and a broad discussion area so that it becomes an interesting research topic to discuss. WSN connects communications from several nodes in one network. In order to make each data can be sent, a communication module is needed. LoRa is a communication module that allows each node to make long range communication. However, one of the issues of WSN is that every communication on the node to exchange data uses a time reference from the respective local clock. The difference in time reference in each node will interfere with the process of arrangin

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K, C. Shilpa, Chetan S, and D. Anand H. "Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm." Indian Journal of Science and Technology 16, no. 11 (2023): 785–94. https://doi.org/10.17485/IJST/v16i11.2388.

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Abstract <strong>Objectives:</strong> To improve the energy efficiency in IoT-based wireless sensor networks. To increase the sensor node lifetime in any wireless sensor network (WSN) based on the Energy-efficient cluster and routing in WSN. The advancement in the electronic industry has to develop the low powerconsuming and low-cost devices for multiple purposes. <strong>Methods:</strong> A new algorithm is proposed to improve the energy efficiency in IoT-based WSN for routing algorithms. The low power consuming devices are wisely chosen for the respected application and their

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Lee, Jong-Yong, and Daesung Lee. "Improvement of CH election in three-level heterogeneous WSN." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 272. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp272-278.

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<p>A Wireless Sensor Network is a wirelessly configured Sensor Node with limited power such as a battery. There are many Wireless Sensor Network Protocols to increase energy efficiency, among which LEACH Protocol and SEP are typical. The LEACH Protocol is mainly used for homogeneous sensor networks with the same initial energy, and SEP is used for heterogeneous sensor networks with different initial energies. In the case of SEP-E, another heterogeneous sensor with different initial energy is added. SEP and SEP-E provide a higher probability of Cluster Head election for node types with mo

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Lee, Jong-Yong, and Daesung Lee. "Improvement of CH election in three-level heterogeneous WSN." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 272–78. https://doi.org/10.11591/ijeecs.v13.i1.pp272-278.

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A Wireless Sensor Network is a wirelessly configured Sensor Node with limited power such as a battery. There are many Wireless Sensor Network Protocols to increase energy efficiency, among which LEACH Protocol and SEP are typical. The LEACH Protocol is mainly used for homogeneous sensor networks with the same initial energy, and SEP is used for heterogeneous sensor networks with different initial energies. In the case of SEP-E, another heterogeneous sensor with different initial energy is added. SEP and SEP-E provide a higher probability of Cluster Head election for node types with more energy

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Qu, Li Guo, You Rui Huang, Chao Li Tang, and Liu Yi Ling. "Low Power Wi-Fi(IEEE 802.11) for Mobile Sensing of the Internet of Things of Mine." Advanced Materials Research 424-425 (January 2012): 1053–56. http://dx.doi.org/10.4028/www.scientific.net/amr.424-425.1053.

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Sensing Mine is the specific application of internet of things in mine. Through a variety of techniques of sensing, information transmission and processing, Sensing Mine realizes digital, visualization, and intelligent of true mine. Because mine is in the dynamic mining process, only WSN (wireless sensor network) with the characteristics of distributed, mobile, ad hoc network can be employed to realize mine information sensing. In this paper, low power Wi-Fi(IEEE 802.11)is adopted to constitute WSN, and the node of WSN is mainly consist of GS1010 which is WSN solutions of GainSpan company and

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Et. al., N. Srinivas Rao,. "Wireless Sensor Network routing for Life Time Maximization Using ANFIS Based Decision with Low Power Consumption." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 2893–900. http://dx.doi.org/10.17762/turcomat.v12i2.2324.

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Wireless sensor networks (WSNs) allocate thousands of cheap micro-sensor nodes to a hundreds to more than thousands of nodes in the reserved areas. In the WSN, sensor nodes control storage resources, calculating energy of nodes, power resources of nodes, and additional resources information on a sensor network. These micro-sensor nodes are key components of the Internet of Things (). WSNs are pre-arranged in clusters or groups to protect the ability for efficient data communication. Strong routing methods are required to maintain long network life and achieve high power usage. In this work, th

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Jaleel, Malik Adnan, Muhammad Amir Khan, Tehseen Mazhar, et al. "An Energy-Efficient Hybrid LEACH Protocol that Enhances the Lifetime of Wireless Sensor Networks." Engineering, Technology & Applied Science Research 15, no. 1 (2025): 19364–69. https://doi.org/10.48084/etasr.8458.

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A Wireless Sensor Networks (WSN) comprises of little, low-power sensors, which have a low battery limit and are often utilized in unfavorable conditions. These sensors are data processing and networking devices. The battery life, processing power, communication range, and memory of sensors, which are tiny, self-contained devices, are just a few of their limits. They also have transceivers, which gather environmental data and transmit it to a base station. There are various strategies accessible to expand the existence of a WSN and diminish energy utilization. LEACH (Low Energy Adaptive Cluster

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Ingle, Madhav, and PVRD Prasada Rao. "Improving IF Algorithm for Data Aggregation Techniques in Wireless Sensor Networks." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 5162. http://dx.doi.org/10.11591/ijece.v8i6.pp5162-5168.

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In Wireless Sensor Network (WSN), fact from different sensor nodes is collected at assembling node, which is typically complete via modest procedures such as averaging as inadequate computational power and energy resources. Though such collections is identified to be extremely susceptible to node compromising attacks. These approaches are extremely prone to attacks as WSN are typically lacking interfere resilient hardware. Thus, purpose of veracity of facts and prestige of sensor nodes is critical for wireless sensor networks. Therefore, imminent gatherer nodes will be proficient of accomplish

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Nguyen, Nhan Chi, Hoang Huy Nguyen, and Tuan Ngoc Pham. "A wireless sensor network for high-tech agriculture." Science and Technology Development Journal - Natural Sciences 3, no. 4 (2020): 259–70. http://dx.doi.org/10.32508/stdjns.v3i4.704.

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This paper presents the design of wireless sensor network (WSN) based on low-power wide area network technology for high-tech agriculture. This WSN allows the farmer to collect data such as air temperature, air humidity, soil moisture. The WSN system consists of components: 02 wireless sensor nodes, 01 gateway, 01 cloud server and smartphone app. This WSN tested for data transmission in two zones: zone 1 (dense urban environments) at a distance of 500m and zone 2 (urban environments - less obstacles) at a distance of 1,500m and 1,700m. The data collected at different times of the day and updat

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Mateusz, Groth, Rzymowski Mateusz, Nyka Krzysztof, and Kulas Lukasz. "ESPAR Antenna-Based WSN Node with DoA Estimation Capability." IEEE Access 8 (May 14, 2020): 91435–47. https://doi.org/10.1109/ACCESS.2020.2994364.

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In this paper, we present a low-cost energy-efficient electronically steerable parasitic array radiator (ESPAR) antenna-based wireless sensor network (WSN) node designed for IEEE 802.15.4 standard that is capable of performing direction of arrival (DoA) estimation in real-life outdoor environments. To this end, we propose the WSN node architecture, design and realization that utilizes NXP JN5168 radio frequency (RF) wireless transceiver and a microcontroller integrated with ESPAR antenna beam-switching circuits. To incorporate DoA estimation capability into the developed single-board WSN node,

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Wu, Jianwei, and Yisheng Miao. "Node Deployment in Farmland Wireless Sensor Networks based on Renewable Energy." International Journal of Online Engineering (iJOE) 12, no. 10 (2016): 62. http://dx.doi.org/10.3991/ijoe.v12i10.6210.

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<p><span style="font-size: small;"><span style="font-family: Times New Roman;">Wireless sensor network (WSN) plays an important role in the large scale farmland environmental monitoring. The complex farmland environment has a great impact on the WSN performance. Extremely low power consumption of WSN is required because of the long monitoring period and limited energy. In the considering of network coverage, connectivity, organization and power consumption, this paper proposes a new deployment strategy in the consideration of solar power nodes. A mixed deployment method combi

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Et. al., Venkatesh Prasad B. S. ,. "Improved energy efficient hierarchical cluster tree based routing to prolong network lifetime." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (2021): 694–706. http://dx.doi.org/10.17762/itii.v9i2.400.

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Wireless sensor networks (WSN) play a key role in enabling wireless communication technology among several nodes to remotely communicate and exchange information. WSN consists of tiny sensor nodes equipped with battery, scattered in an area to gather information around an environment and send to data collection node known as sink or base station (BS). WSN have been widely used in various applications like agriculture, fire detection, health care and military and has become imperative necessity for future revolutionary area like UAV (unmanned aerial vehicles), IoT (Internet of things) and smart

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Kadhim, Abdulkareem A., and Sarah A. Rafea. "IMPROVED ROUTING PROTOCOLS BASED ON RPL FOR FULL IOT-WSN STACK." Iraqi Journal of Information and Communications Technology 1, no. 1 (2021): 58–69. http://dx.doi.org/10.31987/ijict.1.1.172.

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The Internet Engineering Task Force (IETF) standardized several protocols such as Constraint Application Protocol (CoAP) to run over WSN-IoT constrained devices. IPv6 is used to transmit packets over IEEE802.15.4 radio link called 6LoWPAN. The routing protocol for low power and lossy (RPL) network enable connectivity of WSN over IoT. Nodes in RPL optimized its path using objective function (OF), which depends on different node/link metrics. In this paper, the performance of IoT-WSN stack consisting of CoAP, 6LoWPAN and two proposed protocols based on RPL are evaluated. The two proposed protoco

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Sun, Ge, Zhi Qun Li, Chen Jian Wu, Meng Zhang, Jia Cao, and Zeng Qi Wang. "Low Voltage Low Power Up-Conversion Mixer for Wireless Sensor Networks Node Application." Advanced Materials Research 760-762 (September 2013): 516–20. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.516.

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A low voltage, low power up-conversion mixer is presented here for 2.4GHz wireless sensor networks (WSN). It was based on a double-balanced Gilbert cell type. The current-reuse technique was used to reduce the power consumption and negative-resistance compensation technique was used to improve the conversion gain. The mixer was designed in 0.18μm RF CMOS technology, and was simulated with Cadence SpectreRF. The simulation results indicate that the conversion gain is 6.37dB, the noise figure is 15.36dB and the input 1dB compression point is-10.3dBm, while consuming 1mA current for operating vol

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Smita, Shahane, and Pocchi Rohini. "Adaptive Hierarchical Cluster based Energy Efficient Leach Protocol Using Multihop in Wireless Sensor Network." Advancement and Research in Instrumentation Engineering 5, no. 2 (2022): 1–9. https://doi.org/10.5281/zenodo.6644664.

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<em>In a wireless sensor network (WSN), a large number of low-power sensor nodes connect wirelessly to each other. The sensor nodes' primary responsibility is to collect and transmit data to the base station (BS). As a result, for WSN data collection techniques, the network lifespan becomes a key criterion. LEACH (EE-LEACH) Protocol is established in this work for data collection. Using effective data ensemble and optimum clustering, it provides WSN routing that is both energy-efficient and low-latency. Cluster heads are adopted in this system to reduce sensor node energy consumption and m

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Desai, Neha D., and Shrihari D. Khatawkar. "EELEACH Clustering Approach to Improve Energy Efficiency in WSN." Recent Patents on Engineering 13, no. 2 (2019): 148–53. http://dx.doi.org/10.2174/1872212112666180706153854.

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Background: Wireless sensor network is self-organizing which consists of a large number of sensor nodes and one sink node according to recent patents. The most important characteristics of such a network are the restricted resources like battery power, consumption capacity and consumption range. Energy consumption is one of the important issues in the wireless sensor network and the challenge is to prolong the network lifespan. Objective: The objective of the proposed approach is to balance a consumption of energy at member node as well as head node of cluster during the data transmission stag

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